Cases Of Scarlet Fever Research Articles

Scarlet fever – a diagnostic challenge for dentists and physicians: A report of 2 cases with diverse symptoms

Scarlet fever is an infectious disease caused by group A streptococcal bacteria, transmitted mainly through direct contact with the saliva and nasal fluids of infected people. It may also arise from streptococcal wound infections or burns. The disease most commonly affects children aged 5-15 years and manifests as a sore throat, fever and a sandpaper-like, papular skin rash. Due to the evident involvement of the oral structures, the awareness of the symptoms of scarlet fever is essential for dentists in order to avoid the spread of this highly contagious disease in crowded places, such as kindergartens and schools. As no vaccine is available to prevent scarlet fever, the early diagnosis and treatment of this condition are important in reducing the risk of developing local and systemic complications, which include acute rheumatic fever, glomerulonephritis, bacteremia, pneumonia, endocarditis, and meningitis. In this report, 2 cases of scarlet fever are described in unrelated children with diverse symptoms, and diagnostic and therapeutic strategies are discussed.

Use of meteorological parameters for forecasting scarlet fever morbidity in Tianjin, Northern China.

The scarlet fever incidence has increased drastically in recent years in China. However, the long-term relationship between climate variation and scarlet fever remains contradictory, and an early detection system is lacking. In this study, we aim to explore the potential long-term effects of variations in monthly climatic parameters on scarlet fever and to develop an early scarlet-fever detection tool. Data comprising monthly scarlet fever cases and monthly average climatic variables from 2004 to 2017 were retrieved from the Notifiable Infectious Disease Surveillance System and National Meteorological Science Center, respectively. We used a negative binomial multivariable regression to assess the long-term impacts of weather parameters on scarlet fever and then built a novel forecasting technique by integrating an autoregressive distributed lag (ARDL) method with a nonlinear autoregressive neural network (NARNN) based on the significant meteorological drivers. Scarlet fever was a seasonal disease that predominantly peaked in spring and winter. The regression results indicated that a 1°C increment in the monthly average temperature and a 1-h increment in the monthly aggregate sunshine hours were associated with 17.578% (95% CI 7.674 to 28.393%) and 0.529% (95% CI 0.035 to 1.025%) increases in scarlet fever cases, respectively; a 1-hPa increase in the average atmospheric pressure at a 1-month lag was associated with 12.996% (95% CI 9.972 to 15.919%) decrements in scarlet fever cases. Based on the model evaluation criteria, the best-performing basic and combined approaches were ARDL(1,0,0,1) and ARDL(1,0,0,1)-NARNN(5, 22), respectively, and this hybrid approach comprised smaller performance measures in both the training and testing stages than those of the basic model. Climate variability has a significant long-term influence on scarlet fever. The ARDL-NARNN technique with the incorporation of meteorological drivers can be used to forecast the future epidemic trends of scarlet fever. These findings may be of great help for the prevention and control of scarlet fever.

Non-Pharmaceutical Interventions and Military Hygiene at the United States Military Academy between 1890 and 1910.

IntroductionMilitary installations are at increased risk for the transmission of infectious disease. Personnel who live and train on military installations live and train near one another facilitating disease transmission. An understanding of historical sanitation and hygiene can inform modern practices. This is especially pertinent considering the continuing rise of variants of infectious diseases, such as the recent pandemic of the 2019 severe acute respiratory syndrome coronavirus 2. In this article, we review the rise and decline of infectious disease at the United States Military Academy (USMA) during the period spanning 1890 through 1910, and the public health interventions used to combat disease spread.Materials and MethodsPrimary data regarding cadet illness were acquired from the historical archives of the USMA. These included annual reports, clinical admission records, casualty ledgers, and sanitation reports. Unpublished documents from the medical history of USMA provide periodic trends of health among cadets because of infectious disease.ResultsBetween 1890 and 1910, the USMA at West Point was confronted with cases of influenza, measles, mumps, scarlet fever, smallpox, typhus, and malaria. In response, a series of non-pharmaceutical interventions (NPIs) were instituted to curb the spread of infectious disease. These interventions most likely proved effective in suppressing the transmission of communicable diseases. The most common and arguably the most effective NPI was the physical separation of the sick from the well.ConclusionsThe USMA experience mirrored what was occurring in the larger U.S. Army in the early 20th century and may serve as a model for the application of NPIs in response to modern infectious diseases resulting from novel or unknown etiologies.

Exposure to air pollution and scarlet fever resurgence in China: a six-year surveillance study

Scarlet fever has resurged in China starting in 2011, and the environment is one of the potential reasons. Nationwide data on 655,039 scarlet fever cases and six air pollutants were retrieved. Exposure risks were evaluated by multivariate distributed lag nonlinear models and a meta-regression model. We show that the average incidence in 2011–2018 was twice that in 2004–2010 [RR = 2.30 (4.40 vs. 1.91), 95% CI: 2.29–2.31; p < 0.001] and generally lower in the summer and winter holiday (p = 0.005). A low to moderate correlation was seen between scarlet fever and monthly NO2 (r = 0.21) and O3 (r = 0.11). A 10 μg/m3 increase of NO2 and O3 was significantly associated with scarlet fever, with a cumulative RR of 1.06 (95% CI: 1.02–1.10) and 1.04 (95% CI: 1.01–1.07), respectively, at a lag of 0 to 15 months. In conclusion, long-term exposure to ambient NO2 and O3 may be associated with an increased risk of scarlet fever incidence, but direct causality is not established.

Increase of emm1 isolates among group A Streptococcus strains causing scarlet fever in Shanghai, China

ObjectiveScarlet fever epidemics caused by group A Streptococcus (GAS) have been ongoing in China since 2011. However, limited data are available on the dynamic molecular characterizations of the epidemic strains. MethodEpidemiological data of scarlet fever in Shanghai were obtained from the National Notifiable Infectious Disease Surveillance System. Throat swabs of patients with scarlet fever and asymptomatic school-age children were cultured. Illumina sequencing was performed on 39emm1 isolates. ResultsThe annual incidence of scarlet fever was 7.5–19.4/100,000 persons in Shanghai during 2011–2015, with an average GAS carriage rate being 7.6% in school-age children. The proportion ofemm1 GAS strains increased from 3.8% in 2011 to 48.6% in 2014; they harbored a superantigen profile similar to emm12 isolates, except for the speA gene. Two predominant clones, SH001-emm12, and SH002-emm1, circulated in 66.9% of scarlet fever cases and 44.8% of carriers. Genomic analysis showed emm1 isolates throughout China constituted distinct clades, enriched by the presence of mobile genetic elements carrying the multidrug-resistant determinants ermB and tetM and virulence genes speA, speC, and spd1. ConclusionA significant increase in the proportion ofemm1 strains occurred in the GAS population, causing scarlet fever in China. Ongoing surveillance is warranted to monitor the dynamic changes of GAS clones.

Epidemiological characteristics of scarlet fever in Hubei Province from 2009 to 2018

Descriptive epidemiological methods were adopted to analyze the epidemiological characteristics of scarlet fever in Hubei Province from 2009 to 2018. During this study, the epidemiological data was obtained from the Chinese Center for Disease Control and Prevention Information System. The results showed that there were 7 329 cases of scarlet fever reported in Hubei Province from 2009 to 2018 and the annual average incidence was 1.25 per 10 000. The number of cases was increased by years, and in 2018 it was the highest peak during these ten years and up to 1 758 which was account for 24% in these ten years, and the incidence was 2.98 per 10 000. The number of reported cases of male and female was 4 473 and 2 856, respectively, and both of the incidence rates were on the rise. The reported cases were distributed in 0-60 year-old group, mainly in the <15-year-old group (98.4%, 7 214/7 329). The season with the highest incidence rates were summer and winter. There were cases in all cities and prefectures, and the number of cases were the highest in Wuhan (n=2 105), Yichang (n=1 390), Jingzhou (n=954) and Enshi (n=1 090). Hence, it was very necessary to be on guard for the outbreak of scarlet fever and strengthen the surveillance in summer and winter for the people who were younger than 15 years old, especially in Wuhan, Yichang, Jingzhou and Enshi.

Notifiable Respiratory Infectious Diseases in China: A Spatial-Temporal Epidemiology Analysis.

Nowadays, tuberculosis, scarlet fever, measles, influenza, and mumps are five major notifiable respiratory infectious diseases (RIDs) in China. The objective of this study was to describe, visualize, and compare the spatial-temporal distributions of these five RIDs from 2006 to 2016. In addition to descriptive epidemiology analysis, seasonality and spatial autocorrelation analysis were also applied to explore the epidemiologic trends and spatial changing patterns of the five RIDs, respectively. The results indicated that the incidence of tuberculosis, measles, and mumps presented a downtrend trend, while those of scarlet fever and influenza was in a strong uptrend across the research period. The incidences of the five diseases all peaked in spring. There were significant spatial disparities in the distribution of tuberculosis, scarlet fever, and measles cases, with the hotspots mainly located in the western plateau region, northern plain region, and southern mountainous region. To conclude, notable epidemiological differences were observed across regions, indicating that some provincial units should pay more attention to prevent and control respiratory infectious diseases.

The association between ambient particulate matters, nitrogen dioxide, and childhood scarlet fever in Hangzhou, Eastern China, 2014–2018

BackgroundThe emerging cases of childhood scarlet fever (SF) and worsening air pollution problems in Chinese cities suggests a potential linkage between them. However, few studies had explored this association in a large childhood population. MethodsWe conducted a time-series analysis using the daily count of SF and the daily concentrations of particulate matters with an aerodynamic diameter of 2.5 (PM2.5) and 10 (PM10), as well as nitrogen dioxide (NO2) in Hangzhou, China from 2014 to 2018. Distributed lag nonlinear models were used to estimate the lag effects of PM2.5, PM10 and NO2 for a maximum lag of 10 days, which were quantified using relative risk (RR) comparing the adjusted risks at the 2.5th (extremely low effect) and 97.5th (extremely high effect) percentiles of concentration of the three air pollutants to that at the median. Stratified RRs by sex were also reported. ResultsUsing the median concentration as reference, for extremely high effect, the RR was the highest on lag days 5, 6, and 3 for PM2.5, PM10, and NO2 respectively. While on lag day 0, the RR of PM2.5, PM10, and NO2 were 1.04 (95%CI: 0.90–1.20), 1.07 (95%CI: 0.92–1.24), and 1.08 (95%CI: 0.92–1.26) respectively, the RRs increased constantly and cumulatively to the maximum values of 1.88 (95%CI: 1.33–2.66), 1.82 (95%CI: 1.29–2.55), and 2.19 (95%CI: 1.47–3.27) for PM2.5, PM10, and NO2 respectively on lag day 10. Subgroup analyses showed that females appeared to be more vulnerable to the three pollutants than males. ConclusionOur study provides evidence that PM2.5, PM10, and NO2 exert delayed effects on SF infection.

Scarlet fever outbreak in a primary and middle school in Germany: importance of case ascertainment and risk communication.

A cluster of 18 scarlet fever cases and large illness absenteeism (32%, 58/184) in a school prompted concern and further investigation. We conducted telephone interviews with parents to ascertain cases and better comprehend parents' views. We identified 19 cases, of which 13 reported scarlet fever diagnosis by a physician and only seven fulfilled the probable case definition. We concluded that the outbreak was far smaller than suspected and found that communication and reporting could be improved. Accurate information and communication is essential in an outbreak; the school's concern could have been alleviated sooner and response measures better targeted.

Epidemiological study of scarlet fever in Shenyang, China

BackgroundSince 2011, there has been an increase in the incidence of scarlet fever across China. The main objective of this study was to depict the spatiotemporal epidemiological characteristics of the incidence of scarlet fever in Shenyang, China, in 2018 so as to provide the scientific basis for effective strategies of scarlet control and prevention.MethodsExcel 2010 was used to demonstrate the temporal distribution at the month level and ArcGIS10.3 was used to demonstrate the spatial distribution at the district/county level. Moran’s autocorrelation coefficient was used to examine the spatial autocorrelation and the Getis-Ord statistic was used to determine the hot-spot areas of scarlet fever.ResultsA total of 2314 scarlet fever cases were reported in Shenyang in 2018 with an annual incidence of 31.24 per 100,000. The incidence among males was higher than that among females(p<0.001). A vast majority of the cases (96.89%) were among children aged 3 to 11 years. The highest incidence was 625.34/100,000 in children aged 5–9 years. In 2018 there were two seasonal peaks of scarlet fever in June (summer-peak) and December (winter-peak). The incidence of scarlet fever in urban areas was significantly higher than that in rural areas(p<0.001). The incidence of scarlet fever was randomly distributed in Shenyang. There are hotspot areas located in seven districts.ConclusionsUrban areas are the hot spots of scarlet fever and joint prevention and control measures between districts should be applied. Children aged 3–11 are the main source of scarlet fever and therefore the introduction of prevention and control into kindergarten and primary schools may be key to the control of scarlet fever epidemics.

Effects of Long-Term Exposure to Air Pollution on the Resurgence of Scarlet Fever in China: A 15-Year Surveillance Study

Background: Aimed to investigate the association between the resurgence of scarlet fever and long-term exposure to air pollutants and weather conditions in China. Methods: Data on scarlet fever were from the National Notifiable Disease Reporting System. Air pollutants were from the National Environmental Protection Department, and weather conditions were from the National Meteorological Information Center. A lag non-linear model (DLNM) was used to estimate the excess risk of scarlet fever associated with air pollutants and weather conditions. Findings: 655,039 scarlet fever cases were reported during 2004-18. It started to surge in 2011 (4.7638 per 100 000), and peaked in 2018 (5.6736 per 100 000). The average incidence in 2011-18 was twice that in 2004-10 (rate ratio=2.302; 95% CI: 2.289-2.314; p<0.001]. There was a lowmoderate correlation between scarlet fever and monthly NO2 concentration (r=0.21), sunlight (r=0.28), and wind speed (r=0.24), but the others were weak [PM10 (r=0.13), ozone (r=0.11), and PM2.5 (r=0.05)]. By contrast, it was inversely correlated with monthly relative humidity (RH, r=-0.37), precipitation (r=-0.24) and mean temperature (r=-0.2). A one-unit increment of NO₂ concentration was associated with scarlet fever increased (RR=1.5, 95% CI: 1.35-1.66). The RR was recorded at lag 0 at 42 μg/m3 NO2 concentration (RR=1.15). NO2 pooled estimates varied substantially across China (RR=1.02~4.16), but were higher in northern parts. Interpretation: Long-term exposure to ambient NOâ‚‚ was associated with scarlet fever resurgence, triggered by low RH, temperature, precipitation, and high wind speed and sunshine. Further interventions to reduce NO2 emissions might suppress the resurgence of scarlet fever. Funding Statement: National Science and Technology Major Project of China (Grant no. 2016YFC0202005) and the National Natural Science Foundation of China (Grant no. 41975165, Grant no. 31700320), key epidemiological disciplines of Zhejiang Provincial Health of China, and Shenzhen Science and Technology Innovation Committee (Grant no. JCYJ20160427155352873). Declaration of Interests: The authors declared that they did not have a conflict of interest. Ethics Approval Statement: This study was done according to the principles and guidelines of the Declaration of Helsinki, and was approved by the Research Ethics Committee of the Zhejiang Provincial Center for Disease Control and Prevention. All initial information identifying patients was anonymized in this study.

Analysis of Epidemiological Characteristics of Scarlet Fever in Zhejiang Province, China, 2004-2018.

Objective: The aim of this study was to analyze the trends and epidemiological characteristics of scarlet fever in Zhejiang Province in 2004–2018, intending to provide a basis for targeted prevention and control of this disease. Method: We collated the epidemiological data for cases of scarlet fever from the China Information System for Disease Control and Prevention (CISDCP) in Zhejiang province between 1 January 2004 and 31 December 2018. Descriptive statistical analysis was used to analyze epidemiological characteristics of scarlet fever, whereas the Getis-Ord Gi* statistic was used to determine the hotspot incidence of scarlet fever. Results: In 2004–2018, a total of 22,194 cases of scarlet fever were reported in Zhejiang Province, with no death reports. The annual average of scarlet fever incidence was 2.82/100,000 (range,1.12 to 6.34/100,000). The male incidence was higher than that among female (χ2 = 999.834, p < 0.05), and a majority of the cases (86.42%) occurred in children aged 3–9 years. Each year, the incidence of scarlet fever in Zhejiang Province appeared two seasonal peaks: the first peak occurred from March to June (the constituent ratio was 49.06%), the second peak was lower than the first one during November and the following January (the constituent ratio was 28.67%). The two peaks were almost in accordance with the school spring semester and autumn–winter semester, respectively. The incidence in the northern regions of the province was generally higher than that in the southern regions. High-value clusters were detected in the central and northern regions, while low-value clusters occurred in the southern regions via the Getis-Ord Gi* statistical analysis. Conclusions: The prevalence of scarlet fever in Zhejiang Province showed a marked seasonality variation and mainly clustered in the central and northern regions in 2004–2018. Children under 15 years of age were most susceptible to scarlet fever. Kindergartens and primary schools should be the focus of prevention and control, and targeted strategies and measures should be taken to reduce the incidence.

Increased Incidence of Scarlet Fever — China, 1999−2018

What is already known about this topic? Scarlet fever had high incidence between the 1950s and 1980s, but during the 1980s and 1990s, the incidence of scarlet fever dropped to a relatively low and stable levels in China. What is added by this report? Starting in 2011, scarlet fever incidence significantly increased in China. In the eight years between 2011 and 2018, 479,555 cases were reported, which exceeded the total number of 241,365 cases reported in the previous twelve years 1999–2010. What are the implications for public health practice? Both patient and pathogen epidemiological surveillance need to be heightened to monitor serious cases of scarlet fever and to implement timely control measures.

Resurgence of scarlet fever in China: a 13-year population-based surveillance study

SummaryBackgroundA re-emergence of scarlet fever has been noted in Hong Kong, South Korea, and England, UK, since 2008. China also had a sudden increase in the incidence of the disease in 2011. In this study, we aimed to assess the epidemiological changes before and after the upsurge. We also aimed to explore the reasons for the upsurge in disease in 2011, the epidemiological factors that contributed to it, and assess how these could be managed to prevent future epidemics.MethodsIn this observational study, we extracted the epidemiological data for all cases of scarlet fever between 2004 and 2016 in China from the Chinese Public Health Science Data Center, the official website of National Health Commission of the People's Republic of China, and the National Notifiable Infectious Disease Surveillance System. These data had been collected from 31 provinces and regions in China and included geographical, seasonal, and patient demographic information. We used descriptive statistical methods and joinpoint regression to examine the spatiotemporal patterns and annual percentage change in incidence of the upsurge of disease across China.FindingsBetween Jan 1, 2004, and Dec 31, 2016, 502 723 cases of scarlet fever, with ten fatalities, were reported in China, resulting in an annualised average incidence of 2·8807 per 100 000 people. The annual average incidence increased from 1·457 per 100 000 people in 2004 to 4·7638 per 100 000 people in 2011 (incidence rate ratio [IRR] 3·27, 95% CI 3·22–3·32; p<0·0001), peaking in 2015 (5·0092 per 100 000 people). The annual incidence after the 2011 upsurge of scarlet fever, between 2011 and 2016, was twice the average annual incidence reported between 2004 and 2010 (4·0125 vs 1·9105 per 100 000 people; IRR 2·07, 95% CI 2·06–2·09; p<0·0001). Most cases were distributed in the north, northeast, and northwest of the country. Semi-annual patterns were observed in May–June and November–December. The median age at onset of disease was 6 years, with the annual highest incidence observed in children aged 6 years (49·4675 per 100 000 people). The incidence among boys and men was 1·54 greater than that among girls and women before the upsurge, and 1·51 times greater after the upsurge (p<0·0001 for both). The median time from disease onset to reporting of the disease was shorter after the upsurge in disease than before (3 days vs 4 days; p=0·001).InterpretationTo our knowledge, this is the largest epidemiological study of scarlet fever worldwide. The patterns of infection across the country were similar before and after the 2011 upsurge, but the incidence of disease was substantially higher after 2011. Prevention and control strategies being implemented in response to this threat include improving disease surveillance and emergency response systems. In particular, the school absenteeism and symptom monitoring and early-warning system will contribute to the early diagnosis and report of the scarlet fever. This approach will help combat scarlet fever and other childhood infectious diseases in China.FundingNational Key R&D Plan of China Science and key epidemiological disciplines of Zhejiang Provincial Health of China.

Assessing scarlet fever re-emergence from notifiable disease surveillance in Hong Kong

Objective: This study examined the epidemiology of scarlet fever in Hong Kong based on notifiable disease surveillance data, in a period where a 10-fold upsurge in scarlet fever incidence occurred. High risk groups and important factors associated with scarlet fever transmission were identified.Introduction: Scarlet fever is a notifiable disease in Hong Kong for over 40 years. There was relatively low activity of scarlet fever until an outbreak in mid-2011 which resulted in two deaths and more than 1,500 cases. Scarlet fever incidence remained elevated since then with &gt;10-fold increase comparing to that before the upsurge (1, 2). Reemergence of scarlet fever was also reported in China in 2011 and the United Kingdom in 2014 (3). We analyzed the patterns in scarlet fever incidence in Hong Kong using the notifiable disease surveillance data from 2005–2015.Methods: We analyzed 7,266 scarlet fever cases aged 14y or younger from 2005-2015, who were notified to the Department of Health. Hierarchical multivariable negative binomial models were fitted to the data to study the effects of age, sex, school holidays, and other meteorological parameters, accounting for autocorrelation, seasonal and long-term trend. Separate models were fitted to the data before and after the upsurge in 2011, excluding data in 2011 to allow for a 1-year window period.Results: We observed seasonal pattern throughout the study period (Figure). Among children aged ≤5y, the average scarlet fever incidence was 3.3 per 10,000 children in 2005-2010, which increased substantially to 18.1 per 10,000 children in 2012-2015.The final model included age, sex, school holidays in the preceding week, temperature, relative humidity, rainfall, long-term and bimodal seasonal trend. Based on the model, we identified no significant long-term trend before the upsurge in 2011, but there was a mild decreasing trend of about 8% (95% CI=6-11%) per year after the upsurge. A major peak was identified in December to January, with a milder peak in May to June.We found that the most affected groups were kindergarten students (3-5y), followed by primary school students (6-11y). Comparing to girls aged 0-2y, boys had significantly higher risk than girls except for the 0-2y age group, and boys aged 3-5y had the highest risk (adjusted incidence rate ratio (IRR)=1.47, 95% CI=1.32-1.65). School holidays were significantly associated with lower incidence of scarlet fever, with an adjusted IRR of 0.58 (95% CI=0.51–0.65) after the upsurge in 2011. Temperature was found to be negatively associated with scarlet fever incidence (adjusted IRR=0.963, 95% CI=0.940-0.987) after the upsurge.Conclusions: Our study showed that elevated activity of scarlet fever was sustained for more than 5 years after the upsurge in 2011. We found that younger children who started schools, especially for boys aged 3-5 years, had a higher risk of scarlet fever, and there was significant effect of school holidays in reducing scarlet fever incidence. Combining these findings, school-based control strategy is likely to be effective. Sustained and consistent surveillance of scarlet fever allows continued monitoring of potential change in high risk group to drive updated and effective control strategy.

Complete Genome Sequence of a Streptococcus pyogenes Serotype M12 Scarlet Fever Outbreak Isolate from China, Compiled Using Oxford Nanopore and Illumina Sequencing.

ABSTRACTThe incidence of scarlet fever cases remains high in China. Here, we report the complete genome sequence of a Streptococcus pyogenes isolate of serotype M12, which has been confirmed as the predominant serotype in recent outbreaks. Genome sequencing was achieved by a combination of Oxford Nanopore MinION and Illumina methodologies.

FR-15 KING OF THE QUEEN CITY: THE UROLOGIST WHO SAVED BUFFALO

You have accessJournal of UrologyHistory Forum1 Apr 2018FR-15 KING OF THE QUEEN CITY: THE UROLOGIST WHO SAVED BUFFALO Michael Ernst, Adam Klein, and Amanda Sherman Michael ErnstMichael Ernst More articles by this author , Adam KleinAdam Klein More articles by this author , and Amanda ShermanAmanda Sherman More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2018.02.3035AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES The role of the urologist in the 19th century was largely concerned with venereal and other infectious diseases. Dr. Walter D. Greene was an early professor in GU Diseases at the University of Buffalo, though his contributions would extend beyond the treatment of urologic conditions. Dr. Greene helped to control outbreaks of multiple communicable diseases and established strict measures of control that would be emulated across the country. We seek to highlight some of these contributions. METHODS Literature review was performed of periodicals and medical journals to identify relevant historical and clinical information with focus on medical/public health journals of the late 19th century. RESULTS Born in Vermont, Dr. Greene graduated with a medical degree from the University at Buffalo in 1876 and then opened an office to treat diseases of the kidney and bladder. In 1896 he was appointed Deputy Health Officer and would ascend to Commissioner of the Health Department in 1902, serving until 1907. Transmission of bovine tuberculosis was a major issue facing cities. Dr. Greene established protocols for inspection of milch cows (eventually banning them from within Buffalo), advocated for pasteurization of milk when sick cows could not be identified, and was a leader in the control of the entire state milk supply. He noted that schoolbooks were filthy and identified this as a possible source of infection in children. His proposal to treat all schoolbooks annually with formaldehyde decreased cases of scarlet fever from 875 to 528, and deaths from 36 to 18 over 2 years. He also instituted a mechanism of placarding houses and quarantine of infected individuals that would be replicated across the country. He helped to form the Buffalo Cremation Co. and was an early advocate of this form of treatment for the dead. Lastly, he played a significant role in implementing stringent measures during the Pan-American Expo, which came to Buffalo in 1901. The Expo brought people and diseases from across the country. Whereas Chicago spent two years eradicating smallpox following the 1893 World's Fair, there were only 12 cases of smallpox identified during the Buffalo Expo. The spread of this highly contagious disease was modest and eradication swift. CONCLUSIONS Urologists have been and continue to be leaders in their communities, with contributions varied and diverse. Dr. Walter D. Greene is a prime example of this. With a mind for public health, he played a major role in improving the wellbeing of a large city along important trade routes at the turn of the 20th century. His measures were strict, but outcomes undeniable. For a time, he was King of the Queen City. © 2018FiguresReferencesRelatedDetails Volume 199Issue 4SApril 2018Page: e1246 Advertisement Copyright & Permissions© 2018MetricsAuthor Information Michael Ernst More articles by this author Adam Klein More articles by this author Amanda Sherman More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

Spatiotemporal epidemiology of scarlet fever in Jiangsu Province, China, 2005\u20132015

BackgroundA marked increase in the incidence rate of scarlet fever imposed a considerable burden on the health of children aged 5 to 15 years. The main purpose of this study was to depict the spatiotemporal epidemiological characteristics of scarlet fever in Jiangsu Province, China in order to develop and implement effective scientific prevention and control strategies.MethodsSmoothed map was used to demonstrate the spatial distribution of scarlet fever in Jiangsu Province. In addition, a retrospective space-time analysis based on a discrete Poisson model was utilized to detect clusters of scarlet fever from 2005 to 2015.ResultsDuring the years 2005–2015, a total of 15,873 scarlet fever cases occurred in Jiangsu Province, with an average annual incidence rate of 1.87 per 100,000. A majority of the cases (83.67%) occurred in children aged 3 to 9 years. Each year, two seasonal incidence peaks were observed, the higher occurring between March and July, the lower between November and the following January. The incidence in the southern regions of the province was generally higher than that in the northern regions. Seven clusters, all of which occurred during incidence peaks, were detected via space-time scan statistical analysis. The most likely cluster and one of the secondary clusters were detected in the southern and northern high endemic regions, respectively.ConclusionThe prevalence of scarlet fever in Jiangsu Province had a marked seasonality variation and was relatively endemic in some regions. Children aged 3 to 9 years were the major victims of this disease, and kindergartens and primary schools were the focus of surveillance and control. Targeted strategies and measures should be taken to reduce the incidence.

Characteristics on the onset features of scarlet fever in Beijing, 2006-2015

Objective: This study aimed to explore the incidence trends and onset features of scarlet fever during the years of epidemic, from 2006 to 2015, in Beijing. Methods: Spatial, temporal and population distributions, prognosis of the reported cases and surveillance data on scarlet fever and other streptococcal infections (including the patients of streptococcal infection, tonsillitis and isthmitis) were analyzed by the descriptive epidemiological methods. Results: A total of 27 987 scarlet fever cases were reported from 2006 to 2015, with the incidence rates as 7.04 to 18.53 per 100 000 persons during these years, except for 2011. A total of 6 152 cases were reported in 2011, with the incidence of 31.37 per 100 000 persons, significantly higher than the average levels of the other years. There were more cases reported in rural-urban continuum, in summer and winter, with most of the cases were children in primary schools and infant-institutes. From May to December in 2011, 4 332 cases were interviewed three weeks after the disease onset, and their conditions improved or recovered, with no death or complication appeared at the follow-up period. There were 2 725 cases of scarlet fever and 104 013 clinical cases of streptococcal infections reported in 36 surveillance hospitals during the same period. The ratio between numbers of scarlet fever cases and streptococcal infection was 1 ∶ 38.17. The weekly numbers of scarlet fever were remarkably correlated to the streptococcal infections, with a Pearson's correlation coefficient as 0.729 (P<0.001). Accordingly, we estimated that about 21.4 thousand clinical cases of streptococcal infections that were caused by Group A streptococcus in 2011, in Beijing. Conclusions: Incidence of scarlet fever in 2011 was significantly higher than the average levels of other years in Beijing, but characteristics on spatial, temporal and population distributions of scarlet fever remained the same, with good prognosis of the reported cases. A large number of culture-positive Group A streptococcus infections among all the clinical cases of streptococcal infection might have been served as important source on septic infection, of scarlet fever.

Nurses should be prepared for more cases of scarlet fever

Nurses should be prepared for more cases of scarlet fever